What challenges did Danfoss face before AI implementation?

High-volume, complex B2B customer email orders required manual input across multiple systems. Manual order turnaround time was around 42 hours and created heavy customer service workload.

What was the impact of the AI solution?

Automated up to 80% of transactional decision-making and communication. Reduced manual order processing time from about 42 hours toward near real time, with minute-level acknowledgements for some orders. Estimated multi-million euro savings and roughly five minutes saved per order. Improved onboarding and reduced churn.

Source

GCP

Danfoss automated B2B order processing with AI agents on Google Cloud

Use case typeWorkflow automationUpdated Jun 13, 2026

Danfoss, a global manufacturer of energy-efficient solutions, automated high-volume B2B email order handling across multiple systems. The solution, built with Go Autonomous and hosted on Google Cloud, uses specialized AI models and AI agents to interpret customer emails and trigger actions in ERP and CRM workflows. The platform consolidates sales and customer service work into a single interface and supports human review for exceptions such as pricing mismatches.

Organization: Danfoss
Industry: Manufacturing
Location: Denmark
Published: May 2026

Reported outcomes

80%

quantified impactAutomation & deflection

42 hourstime

Strategic outcomes

New product / capabilityAutomated B2B order handlingSpeed & agilityNear-real-time order processingScale & capacityAutomated most transactional decisionsCustomer experience & trustImproved onboarding and retention

Catalog median for automation & deflection deployments: +68% across 125 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

1Order processing automation
2workflow automation
3customer service automation

High-volume, complex B2B customer email orders required manual input across multiple systems.
Manual order turnaround time was around 42 hours and created heavy customer service workload.

Danfoss partnered with Go Autonomous to deploy an Autonomous Commerce platform on Google Cloud.
Specialized AI models and AI agents interpret incoming customer emails, execute order and quote workflows, and trigger actions in ERP and CRM systems.
The solution is hosted and scaled with Google Kubernetes Engine, with planned integration to BigQuery.
The platform consolidates workflows into a single interface and keeps human oversight for exceptions.

Technologies

Google Kubernetes Engine BigQuery Google Cloud

Automated up to 80% of transactional decision-making and communication.
Reduced manual order processing time from about 42 hours toward near real time, with minute-level acknowledgements for some orders.
Estimated multi-million euro savings and roughly five minutes saved per order.
Improved onboarding and reduced churn.

Architecture

A containerized Autonomous Commerce platform hosted on Google Cloud, scaled with Google Kubernetes Engine, and integrated with Danfoss ERP and CRM systems. The platform uses specialized AI models and AI agents to interpret B2B email requests, execute transactional workflows, and surface exceptions for human review. BigQuery integration was planned as a next step.

Implementation partners1

Go Autonomous

Sources & evidence1

Groundedness: 5/5

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence